Yu Zhang

17 papers A* 2A 1Misc 1Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
DiLA: Enhancing LLM Tool Learning with Differential Logic Layer.
KDD (1)
Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu
2025 J jnl
MOSS: Efficient and Accurate FP8 LLM Training with Microscaling and Automatic Scaling.
CoRR
Yu Zhang, Hui-Ling Zhen, Mingxuan Yuan, Bei Yu
2024 A conf
DiffSAT: Differential MaxSAT Layer for SAT Solving.
ICCAD
Yu Zhang, Hui-Ling Zhen, Mingxuan Yuan, Bei Yu
2024 Misc conf
Fed2Com: Towards Efficient Compression in Federated Learning.
ICNC
Yu Zhang, Wei Lin, Sisi Chen, Qingyu Song, Jiaxun Lu, Yunfeng Shao, Bei Yu, Hong Xu
2024 A* conf
Lesyn: Placement-aware Logic Resynthesis for Non-Integer Multiple-Cell-Height Designs.
DAC
Yuan Pu, Fangzhou Liu, Yu Zhang, Zhuolun He, Yibo Lin, Kai-Yuan Chao, Bei Yu
2024 J jnl
MixPE: Quantization and Hardware Co-design for Efficient LLM Inference.
CoRR
Yu Zhang, Mingzi Wang, Lancheng Zou, Wulong Liu, Hui-Ling Zhen, Mingxuan Yuan, Bei Yu
2024 — conf
Multi-Electrostatics Based Placement for Non-Integer Multiple-Height Cells.
ISPD
Yu Zhang, Yuan Pu, Fangzhou Liu, Peiyu Liao, Kai-Yuan Chao, Keren Zhu, Yibo Lin, Bei Yu
2024 J jnl
SoLA: Solver-Layer Adaption of LLM for Better Logic Reasoning.
CoRR
Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu
2024 — conf
Towards Real-world Deployment of NILM Systems: Challenges and Practices.
SustainCom
Junyu Xue, Yu Zhang, Xudong Wang, Yi Wang, Guoming Tang
2024 J jnl
Towards Real-world Deployment of NILM Systems: Challenges and Practices.
CoRR
Junyu Xue, Yu Zhang, Xudong Wang, Yi Wang, Guoming Tang
2023 J jnl
FedNILM: Applying Federated Learning to NILM Applications at the Edge.
IEEE Trans. Green Commun. Netw.
Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Kui Wu, Keping Yu, Xun Shao
2023 A* conf
LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition.
DAC
Yu Zhang, Yifan Chen, Zhonglin Xie, Hong Xu, Zaiwen Wen, Yibo Lin, Bei Yu
2022 — conf
EVSense: a robust and scalable approach to non-intrusive EV charging detection.
e-Energy
Xudong Wang, Guoming Tang, Yi Wang, Srinivasan Keshav, Yu Zhang
2022 — conf
Investigating Low-Battery Anxiety of Mobile Users.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Yu Zhang, Guoming Tang, Qianyi Huang, Kui Wu, Yangjing Wu, Yi Wang
2022 — conf
More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Hong Xu, Xudong Wang
2021 J jnl
FedNILM: Applying Federated Learning to NILM Applications at the Edge.
CoRR
Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Xudong Wang, Jiadong Lou
2021 J jnl
More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring.
CoRR
Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Hong Xu